한국감성과학회:학술대회논문집 (Proceedings of the Korean Society for Emotion and Sensibility Conference)
- 한국감성과학회 2000년도 춘계 학술대회 및 국제 감성공학 심포지움 논문집 Proceeding of the 2000 Spring Conference of KOSES and International Sensibility Ergonomics Symposium
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- Pages.240-243
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- 2000
APPAREL PRODUCTS RETRIEVAL SYSTEM BASED ON PSYCOLOGICAL FEATURE SPACE
- Ohtake, Atsushi (Faculty of Testile Science and Technology, Shinshu University) ;
- Takatera, Masayuki (Faculty of Testile Science and Technology, Shinshu University) ;
- Furukawa, Takao (Faculty of Testile Science and Technology, Shinshu University) ;
- Shimizu, Yoshio (Faculty of Testile Science and Technology, Shinshu University)
- 발행 : 2000.04.01
초록
An apparel products retrieval system was proposed in which users can refer to products using Kansei evaluation values. The system adopts relevance feedback using history of the retrieval to learn the tendency of user evaluation. The system is based on a vector space retrieval model using products images expression as semantic scales. The system makes a query from user inputting information and retrieves closest products from the database. Revising algorithms of the difference method. linear multiple regression performed to investigate the effectiveness and criteria of the search. As a result of evaluation of the accuracy, it was found that the linear multiple regression and the neural network models are effective for the retrieval considering the individual Kansei.
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